• The Journal of the Korea Contents Association
• /
• v.21 no.3
• /
• pp.761-770
• /
• 2021

The purpose of this study is to examine improvements of after-school care policy for elementary school-age children based on children's rights in the community. After-school care is important to support children right of survive and protect, as well as the right to development and participation. To support integrated child rights through the policy, local government's duty is growing in the Covid-19 world. Therefore, the main policy of out-of-school care is analyzed from the perspective of children's rights. Current after-care policy focuses on the right of protection privileges. Providing a safe facility is important, but there is a lack of policy design to expand children's options to learn by various activity which can be utilized with community resources as care contents. The role of government to this is requested to supplement accountability, fairness, democracy and public interest more than over quantitative expansion of services. This study presented an alternative based on the universal elementary care providing happy after-school hours.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.25 no.2
• /
• pp.308-313
• /
• 2021

In this study, tweets about the 2019 Koreas-US DMZ Summit were collected along with a time sequence and analyzed by a sequential topic modeling method, Dynamic Topic Modeling(DTM). In microblogging services such as Twitter, unstructured data that mixes news and an opinion about a single event occurs at the same time on a large scale, and information and reactions are produced in the same message format. Therefore, to grasp a topic trend, the contextual meaning can be found only by performing pattern analysis reflecting the characteristics of sequential data. As a result of calculating the DTM after obtaining the topic coherence score and evaluating the Latent Dirichlet Allocation(LDA), 30 topics related to news reports and opinions were derived, and the probability of occurrence of each topic and keywords were dynamically evolving. In conclusion, the study found that DTM is a suitable model for analyzing the trend of integrated topics in a specific event over time.

• Journal of Industrial Convergence
• /
• v.20 no.3
• /
• pp.41-46
• /
• 2022

This paper proposes a consumer-tailored solution to prevent the forgery and falsification of data by incorporating blockchain technology in the online and offline distribution of agricultural produce. The solution provides customized services to consumers based on an analysis of the data generated from the sales, distribution, and consumption of quality of the produce. It can also ensure the safety and credibility of the produce, and allow producers to identify consumption intent and the flow of distribution. Producers will be able to determine the flow of produce based on the data collected and thus tailor promotional efforts. This is expected to be the fourth industrial revolution in the agricultural produce distribution sector. Utilizing blockchain and big data technology to create integrated record management systems that combine multiple solutions will shape future technology trends. In addition, if eco-friendly certification is acknowledged as a valuable service and can be incorporated into the distribution process, this solution could become a one-stop distribution solution for agricultural produce.

• Journal of Internet Computing and Services
• /
• v.23 no.1
• /
• pp.87-93
• /
• 2022

Since 99% of PCs operating in the defense domain use the Windows operating system, detection and response of Window-based malware is very important to keep the defense cyberspace safe. This paper proposes a model capable of detecting malware in a Windows PE (Portable Executable) format. The detection model was designed with an emphasis on rapid update of the training model to efficiently cope with rapidly increasing malware rather than the detection accuracy. Therefore, in order to improve the training speed, the detection model was designed based on a Bidirectional LSTM (Long Short Term Memory) network that can detect malware with minimal sequence data without complicated pre-processing. The experiment was conducted using the EMBER2018 dataset, As a result of training the model with feature sets consisting of three type of sequence data(Byte-Entropy Histogram, Byte Histogram, and String Distribution), accuracy of 90.79% was achieved. Meanwhile, it was confirmed that the training time was shortened to 1/4 compared to the existing detection model, enabling rapid update of the detection model to respond to new types of malware on the surge.

• The Journal of The Korea Institute of Intelligent Transport Systems
• /
• v.21 no.2
• /
• pp.85-100
• /
• 2022

Recently, with the widespread expansion of convergence based on digital connectivity, the transportation and mobility fields are rapidly changing, and research related to this is also diversifying. This study aims to analyze the research trends in the mobility field and identify key research areas and topics. Topic modeling analysis has been proved as a useful approach for analyzing the research trends. The abstracts of 142 research papers concerning mobility from the Korean academic citation index were analyzed, derived 9 research topics and linked to 6 key elements of research framework. The result showed that 'Advanced vehicle and transportaion technology' and 'Linkage and integrated services among means for mobility' were most actively studied research fields. It also found that research on insurance, law, regulation for securing user's safety and conflict-resolving with the existing industry has been conducted.

• The Journal of the Korea Contents Association
• /
• v.22 no.10
• /
• pp.271-278
• /
• 2022

MyData service integrates and manages user's personal data such as finance, credit, etc, and is expected to provide useful information to the user as personal data in various fields are gradually integrated. Discovering factors that affect the intention to use of MyData service is a very important topic for understanding that service. To this end, in this study, the attributes of the MyData service were derived, and the derived service attributes were grouped together by using factor analysis. As a result, we found four factors such as "convenience", "usefulness", "security", and "control". After that, we established our research model to analyze the causal relationship between these four factors and the intention to use of MyData service. According to the analysis results, among the factors of the MyData service attribute, "convenience", "usefulness", and "control" had a significant effect, and "security" did not have a significant effect. In particular, it was confirmed that "control" had the greatest influence on the intention to use. This study suggests that MyData service provider need to make users recognize they are controlling their data and develop services that provide various benefits to users.

• Journal of Internet Computing and Services
• /
• v.23 no.4
• /
• pp.65-72
• /
• 2022

In this paper, a zero trust-based complex biometric authentication was proposed in a passwordless environment. The linkage of FIDO 2.0 (Fast IDENTITY Online) transaction authentication platforms was designed in conjunction with metaverse. In particular, it was applied with the location information of a smart terminal according to a geomagnetic sensor, an accelerator sensor, and biometric information for multi-factor authentication(MFA). At this time, a FIDO transaction authentication platform was presented for adaptive complex authentication with user's environment through complex authentication with secondary authentication based on situational awareness such as illuminance and temperature/humidity. As a result, it is possible to authenticate secondary users based on zero trust with behavior patterns such as fingerprint recognition, iris recognition, face recognition, and voice according to the environment. In addition, it is intended to check the linkage result of the FIDO platform for complex integrated authentication and improve the authentication accuracy of the linkage platform for transaction authentication using FIDO2.0.

• Safety and Health at Work
• /
• v.11 no.4
• /
• pp.450-457
• /
• 2020

Background: The production of glass beads in Ghana is greatly impacted by the ingenuity of Ghanaian women. Preliminary investigations revealed the lack of interest on the part of women due to poor working conditions as a result of the influence of culture-specific silence. Therefore, the study investigated the poor working conditions faced by these industrious women with the ultimate goal of suggesting ways they can be empowered. Methods: A phenomenological study was conducted in two indigenous glass bead communities in Ghana. Data were solicited via direct observations, personal interviews and focus group discussions. Twenty-six purposively sampled respondents were recruited for the study. Data from the study were analyzed using Interpretative Phenomenological Analysis. Results: The results confirmed that the elderly women glass bead makers are much influenced by the Ghanaian culture of silence. This prevents the women from speaking about the challenges they are facing in their work. Also, the women are silenced because of the fear of losing their jobs as well as the reluctance of their male managers to remedy the challenges they encounter in the course of work. This has resulted in poor remuneration, lack of insurance packages for workers, certification, and absence of personal protective tools for the women. Conclusion: The study tasks the government of Ghana, the Legal Advocacy for Women in Africa (LAWA), the Fair Wages and Salaries Commission in Ghana, the Ghana Trade Union as well as the Local Government Workers' Union to empower the women to sustain the glass bead industry in Ghana.

• Earthquakes and Structures
• /
• v.22 no.2
• /
• pp.185-201
• /
• 2022

Structural Health Monitoring (SHM) is used to provide reliable information about the structure's integrity in near realtime following extreme incidents such as earthquakes, considering the inevitable aging and degradation that occurs in operating environments. This paper experimentally investigates an integrated wireless sensor network (Wi-SN) based monitoring technique for damage detection in concrete structures. An effective SHM technique can be used to detect potential structural damage based on post-earthquake data. Two novel methods are proposed for damage detection in reinforced concrete (RC) building structures including: (i) Jerk Energy Method (JEM), which is based on time-domain analysis, and (ii) Modal Contributing Parameter (MCP), which is based on frequency-domain analysis. Wireless accelerometer sensors are installed at each story level to monitor the dynamic responses from the building structure. Prior knowledge of the initial state (immediately after construction) of the structure is not required in these methods. Proposed methods only use responses recorded during ambient vibration state (i.e., operational state) to estimate the damage index. Herein, the experimental studies serve as an illustration of the procedures. In particular, (i) a 3-story shear-type steel frame model is analyzed for several damage scenarios and (ii) 2-story RC scaled down (at 1/6th) building models, simulated and verified under experimental tests on a shaking table. As a result, in addition to the usual benefits like system adaptability, and cost-effectiveness, the proposed sensing system does not require a cluster of sensors. The spatial information in the real-time recorded data is used in global damage identification stage of SHM. Whereas in next stage of SHM, the damage is detected at the story level. Experimental results also show the efficiency and superior performance of the proposed measuring techniques.

• Journal of the Korean BIBLIA Society for library and Information Science
• /
• v.33 no.3
• /
• pp.205-237
• /
• 2022

Such future-oriented institutions that put together the functions of a library, archive, and museum are being actively introduced overseas recently and are called LAM, GLAM, and media tech. In South Korea, the term larchiveum, combining library, archive, and museum, is widely used. Therefore, this study explores a case study followed to determine larchiveums in service both home and abroad. The researcher then conducted an interview with librarians, archivists, and curators working for the larchiveums selected as the South Korean cases for the study to understand the meaning of a larchiveum. Additional interviews were conducted with five users that visited a larchiveum in the nation and uploaded posts on a social media platform to understand their perceptions of a larchiveum and problems with the purpose, functions, and services of it. Based on the analysis results, the study proposes vitalization plans for the management of a larchiveum in three aspects: improving the internal and external awareness, securing budgets and manpower for space enhancement and service, and reinforcing the integrated management of a larchiveum via a devoted organization.